This analysis fulfills the first goal of the IndyCrash project. Follow this link to learn more.
Because I am interested in supporting active transportation I have constrained the dataset to only map crashes involving pedestrians or cyclists (sorry, I like e-scooters, but they don’t count). Each sub-category of active transportation is plotted on the map below. Hover over the icon on the top right to toggle each category on and off.
In order to evaluate the effects of preventative interventions, it is important to see how crash distributions are changing over time. Similar to above, hover over the upper-right icon to toggle the plots of each year on and off.
Although these maps allow us to visualize crash sites with highly granular detail, it’s admittedly difficult to see the big picture. That’s why my next analysis will focus on identifying hot spots around the metro area.
If you want to see the code for generating these maps, please visit my github repo and check out the RMarkdown file called “plotting_crashes.Rmd”.